Let $n\ge 3$ be a positive integer. Find the largest real number $t_n$ as a function of $n$ such that the inequality \[\max\left(|a_1+a_2|, |a_2+a_3|, \dots ,|a_{n-1}+a_{n}| , |a_n+a_1|\right) \ge t_n \cdot \max(|a_1|,|a_2|, \dots ,|a_n|)\]holds for all real numbers $a_1, a_2, \dots , a_n$ . Proposed by Rohan Goyal and Rijul Saini
Problem
Source: INMO P4
Tags: inequalities, INMO 2025, real number
19.01.2025 15:10
S.Ragnork1729 wrote: Let $n \geq 3$ be a positive integer. Find the largest real number $t_n$ as a function of $n$ such that the inequality \begin{align*}\max(|a_1 + a_2|, |a_2 + a_3|, \dots, |a_{n - 1} + a_n|, |a_n + a_1|) \geq t_n \cdot \max(|a_1|, |a_2|, \dots, |a_n|)\end{align*}holds for all real numbers $a_1$, $a_2$, $\dots$, $a_n$. ftfy
19.01.2025 15:49
This problem was proposed by Rohan Goyal and Rijul Saini.
19.01.2025 18:16
Rijul sir about to type solution
19.01.2025 18:22
When I was trying this during the contest was to take $n=2k$ then take $(a_1,a_2,a_3,a_4,...,a_{2k-1},a_{2k})=(-1,+1,-1,+1,...,-1,+1)$ then LHS becomes zero , wondering what should $t_n$ become be? @below shi.. !! I should have shown atleast for $n$ being even , $t_n=0$
19.01.2025 18:33
For n even its 0, for n odd i think it's 1/2t (a friend told me this)
19.01.2025 18:36
I think t(n) = 0 when n is even, t(n) = 1/(k+1) when n is 2k+1, for even construction is to take alternating signs, for odd n, take a1, a2 = -k*(a1)/(k+1), a3=+(k-1)a1/(k+1), a4 = -(k-2)a1/(k+1),..... ar = (-1)^(r-1) (k+2-r)a1/k+1 till r<=k+1 and then just reverse a(n+2-r) = a(r).
19.01.2025 23:08
Rijul and my problem!
20.01.2025 00:53
Rijul and Rohan sir cooked to say the least, Nice problem, truly nice for someone with ineqphobia
20.01.2025 04:28
Reading these stories makes me feel a little less bad about my poor performance as I am reminded that I gave inmo for fun
20.01.2025 16:05
reminds me of my failed attempts at 2023 a5
22.01.2025 01:16
Easier than other problems of this year (same as official solution) For $n$ even the trivial sequence $a_{i}=(-1)^{i}k$ works and gives us $t_{n}(a_{i})\leq 0\implies t_{n}=0$. For $n$ odd and $i\in \{1,\dotsc, n\}$ \begin{align*}n\cdot \max\left(|a_{i}+a_{i+1}| , |a_n+a_1|\right)&\geq |a_{1}+a_{n}|+\sum_{i=1}^{n-1}|a_{i}+a_{i+1}|\\&\geq 2\max\left(|a_{i}|\right)\implies t_{n}\geq \frac{2}{n} \end{align*}Note: The equality case will be done by letting $a_{i}+a_{i+1}=\pm 2$
22.01.2025 04:55
@above I am blanking out a little, could you explain why sum |a(i)+a(i+1)|>=2max(|ai|)
22.01.2025 07:45
@above does this help? Take $a_i$ to be the maximum and by triangle inequality we will get an alternating sum \[n\cdot \max\left(|a_1+a_2|, |a_2+a_3|, \dots ,|a_{n-1}+a_{n}| , |a_n+a_1|\right) \geq \left|(a_{i}+a_{i+1})-(a_{i+1}+a_{i+2})+\;\dotsc(a_{n}+1)\dotsc \;+(a_{i-1}+a_{i})\right|\]Things cancel out on RHS and u get $2|a_{i}|$
23.01.2025 02:34
For \( n \) odd, note that the answer to the problem is precisely \( \frac{1}{\|A^{-1}\|_\infty} \), where \( A \) is the \( n \times n \) matrix given by: \[ A = \begin{pmatrix} 1 & 1 & 0 & \cdots & 0 \\ 0 & 1 & 1 & \cdots & 0 \\ 0 & 0 & 1 & \cdots & 0 \\ \vdots & \vdots & \vdots & \ddots & \vdots \\ 1 & 0 & 0 & \cdots & 1 \end{pmatrix} \]Now each entry of \( A^{-1} \) is either \( \frac{1}{2} \) or \( -\frac{1}{2} \). It follows that the the matrix \( \ell^\infty \)-norm of \( A^{-1} \) ie the maximum of the absolute row sums of \( A^{-1} \) is \( \frac{n}{2} \), which gives us the answer \( \frac{2}{n} \).
23.01.2025 16:26
Euler365 wrote: For \( n \) odd, note that the answer to the problem is precisely \( \frac{1}{\|A^{-1}\|_\infty} \), where \( A \) is the \( n \times n \) matrix given by: \[ A = \begin{pmatrix} 1 & 1 & 0 & \cdots & 0 \\ 0 & 1 & 1 & \cdots & 0 \\ 0 & 0 & 1 & \cdots & 0 \\ \vdots & \vdots & \vdots & \ddots & \vdots \\ 1 & 0 & 0 & \cdots & 1 \end{pmatrix} \]Now each entry of \( A^{-1} \) is either \( \frac{1}{2} \) or \( -\frac{1}{2} \). It follows that the the matrix \( \ell^\infty \)-norm of \( A^{-1} \) ie the maximum of the absolute row sums of \( A^{-1} \) is \( \frac{n}{2} \), which gives us the answer \( \frac{2}{n} \). Indeed! A simpler way to state this argument somewhat equivalently for students unfamiliar with the notation is as follows: Let $x_i = a_i + a_{i+1}$. Now, observe that \[a_i = \frac{\sum_{j=0}^{n-1} (-1)^jx_{i+j}}{2}\]and we can choose $x_i$ to be whatever we want. Thus, now if we fix $\max |x_i| =1$ then we want to maximize $\max |a_i|$ as a result. Now, from the equation written, clearly $|a_i|\le \frac{n}{2}$ and equality is achieved by picking $x_i=(-1)^i$. The key observation is indeed just $(a_1,\ldots a_n)\mapsto (a_1+a_2,\ldots, a_n+a_1)$ is an invertible map and then it's just a matter of writing out the inverse.
24.01.2025 21:58
Supose $n$ is odd, by dividing every number by $\max(|a_i|)$ and changing the sign under the absolute value, we can assume $a_1 = 1$ and $|a_i| \leq 1$ for every other $a_i$. Note now that $a_2$ and $a_n$ needs to not be positive to secure $LHS \leq 1$ so: $$|a_1 + a_2| = 1 - |a_2|$$$$|a_n + a_1| = - |a_n| + 1$$Now because $n$ is odd there is some index $2 \leq j \leq n-1$ such that both $a_j$ and $a_{j+1}$ have the same sign so: $$|a_j + a_{j+1}| = |a_j| + |a_{j+1}|$$And by triangle inequality: $$\sum_{i = 1}^n |a_i + a_{i+1}| \geq 1 - |a_2| + (\sum_{i = 2}^{j-1} |a_i| - |a_{i+1}|) + |a_j| + |a_{j+1}| + (\sum_{i = j+1}^{n-1} |a_{i+1}| - |a_i|) - |a_n| + 1 = 2$$So: $$n \cdot \max(|a_i + a_{i+1}|) \geq \sum_{i = 1}^n |a_i + a_{i+1}| \geq 2 \Rightarrow t_n \geq \frac{2}{n}$$
30.01.2025 08:44
Been a while since I posted here...